Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System
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Wang Hu | Gary G. Yen | G. Yen | Wang Hu
[1] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[2] Gary G. Yen,et al. Ranking many-objective Evolutionary Algorithms using performance metrics ensemble , 2013, 2013 IEEE Congress on Evolutionary Computation.
[3] Jonathan E. Fieldsend,et al. A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and , 2002 .
[4] Carlos A. Coello Coello,et al. Ranking Methods for Many-Objective Optimization , 2009, MICAI.
[5] Maurice Clerc,et al. MO-TRIBES, an adaptive multiobjective particle swarm optimization algorithm , 2011, Comput. Optim. Appl..
[6] G. J. Mitchell,et al. Principles and procedures of statistics: A biometrical approach , 1981 .
[7] M Reyes Sierra,et al. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .
[8] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[9] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[10] Carlos A. Coello Coello,et al. Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer , 2004, GECCO.
[11] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems , 2006, Int. J. Intell. Syst..
[12] Jürgen Branke,et al. Empirical comparison of MOPSO methods - Guide selection and diversity preservation - , 2009, 2009 IEEE Congress on Evolutionary Computation.
[13] Prospero C. Naval,et al. An effective use of crowding distance in multiobjective particle swarm optimization , 2005, GECCO '05.
[14] Nikhil Padhye. Topology optimization of compliant mechanism using multi-objective particle swarm optimization , 2008, GECCO '08.
[15] Russell C. Eberhart,et al. Adaptive particle swarm optimization: detection and response to dynamic systems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[16] Russell C. Eberhart,et al. Multiobjective optimization using dynamic neighborhood particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[17] Wenjun Zhang,et al. Dissipative particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[18] Carlos A. Coello Coello,et al. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance , 2005, EMO.
[19] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.
[20] C. Coello,et al. Improving PSO-based Multi-Objective Optimization using Crowding , Mutation and �-Dominance , 2005 .
[21] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[22] Gary G. Yen,et al. Constrained Multiple-Swarm Particle Swarm Optimization Within a Cultural Framework , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[23] Jiao Li-cheng,et al. Intelligent particle swarm optimization in multiobjective optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[24] Gary G. Yen,et al. PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[25] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[26] Yujia Wang,et al. Particle swarm optimization with preference order ranking for multi-objective optimization , 2009, Inf. Sci..
[27] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[28] Mohammad Ali Abido,et al. Multiobjective particle swarm optimization with nondominated local and global sets , 2010, Natural Computing.
[29] Xiaodong Li,et al. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function , 2004, GECCO.
[30] Lily Rachmawati,et al. Dynamic resizing for grid-based archiving in evolutionary multi objective optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[31] Soon-Thiam Khu,et al. An Investigation on Preference Order Ranking Scheme for Multiobjective Evolutionary Optimization , 2007, IEEE Transactions on Evolutionary Computation.
[32] Gary G. Yen,et al. Performance Metric Ensemble for Multiobjective Evolutionary Algorithms , 2014, IEEE Transactions on Evolutionary Computation.
[33] Carlos A. Coello Coello,et al. Evolutionary multiobjective optimization using a cultural algorithm , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[34] Gary G. Yen,et al. Cultural-based particle swarm for dynamic optimisation problems , 2012, Int. J. Syst. Sci..
[35] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[36] Gary G. Yen,et al. Dynamic Multiple Swarms in Multiobjective Particle Swarm Optimization , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[37] James H. Torrie,et al. Principles and procedures of statistics: a biometrical approach (2nd ed) , 1980 .
[38] Marco Laumanns,et al. Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[39] Shiu Yin Yuen,et al. A Multiobjective Evolutionary Algorithm That Diversifies Population by Its Density , 2012, IEEE Transactions on Evolutionary Computation.
[40] Jonathan E. Fieldsend,et al. A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts , 2005, EMO.
[41] C.A. Coello Coello,et al. MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[42] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[43] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[44] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[45] Gary G. Yen,et al. A Culture-Based Particle Swarm Optimization Framework for Dynamic, Constrained Multi-Objective Optimization , 2012, Int. J. Swarm Intell. Res..
[46] Qinghai Bai,et al. Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..
[47] A. Anushya,et al. An analysis of particle swarm optimization for feature selection on medical data , 2017, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS).
[48] Gary G. Yen,et al. Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation , 2003, IEEE Trans. Evol. Comput..
[49] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[50] J. Fieldsend. Multi-Objective Particle Swarm Optimisation Methods , 2004 .
[51] Peter J. Bentley,et al. Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms , 1998 .
[52] Jürgen Branke,et al. About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization , 2006, PPSN.
[53] Frans van den Bergh,et al. An analysis of particle swarm optimizers , 2002 .
[54] Richard C. Chapman,et al. Application of Particle Swarm to Multiobjective Optimization , 1999 .
[55] John A. W. McCall,et al. A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition , 2010, PPSN.
[56] Wang Hu,et al. Density estimation for selecting leaders and mantaining archive in MOPSO , 2013, 2013 IEEE Congress on Evolutionary Computation.
[57] Jürgen Teich,et al. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[58] Xiaodong Li,et al. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization , 2003, GECCO.
[59] J. Rowe,et al. Particle SwarmOptimization andFitness Sharing tosolve Multi-Objective Optimization Problems , 2005 .
[60] Saúl Zapotecas Martínez,et al. A multi-objective particle swarm optimizer based on decomposition , 2011, GECCO '11.
[61] Gary G. Yen,et al. Cultural-Based Multiobjective Particle Swarm Optimization , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[62] Kalyanmoy Deb,et al. An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.
[63] Nikhil Padhye. Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study , 2009, GECCO '09.
[64] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[65] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, ANTS Conference.
[66] Alfred Inselberg,et al. The plane with parallel coordinates , 1985, The Visual Computer.
[67] Qingfu Zhang,et al. A decomposition-based multi-objective Particle Swarm Optimization algorithm for continuous optimization problems , 2008, 2008 IEEE International Conference on Granular Computing.
[68] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[69] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[70] Gary G. Yen,et al. Rank-density-based multiobjective genetic algorithm and benchmark test function study , 2003, IEEE Trans. Evol. Comput..